An Improved B-hill Climbing Optimization Technique for Solving the Text Documents Clustering Problem.

Journal: Current medical imaging
PMID: 32410533

Abstract

BACKGROUND: Considering the increasing volume of text document information on Internet pages, dealing with such a tremendous amount of knowledge becomes totally complex due to its large size. Text clustering is a common optimization problem used to manage a large amount of text information into a subset of comparable and coherent clusters.

Authors

  • Laith Mohammad Abualigah
    Faculty of Computer Sciences and Informatics, Amman Arab University, Amman - 11953, Jordan.
  • Essam Said Hanandeh
    Department of Computer Information System, Zarqa University, P.O. Box 13132, Zarqa, Jordan.
  • Ahamad Tajudin Khader
    School of Computer Science, Universiti Sains Malaysia, Penang, Malaysia.
  • Mohammed Abdallh Otair
    Faculty of Computer Sciences and Informatics, Amman Arab University, Amman - 11953, Jordan.
  • Shishir Kumar Shandilya
    Department of Computer Science & Engineering, NRI Institute of Information Science and Technology, Bhopal, India.

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